What is the key difference between Amazon In MCP and AI Furniture Hub?

Amazon In MCP belongs to the E-Commerce category with local stdio execution, while AI Furniture Hub belongs to the E-Commerce category with local stdio execution.

How do I install Amazon In MCP or AI Furniture Hub in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Amazon In MCP and AI Furniture Hub free or paid?

Amazon In MCP operates under a Free / Open Source model (No auth required). AI Furniture Hub operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Amazon In MCP lists 3 tools with 2 views and 9 GitHub stars. AI Furniture Hub lists 6 tools with 3 views and 1 GitHub stars.

Can I use both Amazon In MCP and AI Furniture Hub together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Amazon In MCP vs AI Furniture Hub

In-depth architectural comparison of the Amazon In MCP and AI Furniture Hub MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Amazon In MCP

E-Commerce · Local stdio

Quality: 63/100 (Good) | Auth: No auth required

AI Furniture Hub

E-Commerce · Local stdio

Quality: 48/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Amazon In MCP if you need specialized E-Commerce tools running via a local process. Choose AI Furniture Hub if your workspace requires E-Commerce integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Amazon In MCP when:

You need dedicated capabilities in the E-Commerce domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
You have access to required keys: AMAZON_IN_AFFILIATE_TAG, AMAZON_IN_CACHE_TTL_MS, AMAZON_IN_PROXY.
Primary tools included: search_amazon_in, get_product, price_history_link.

Explore Amazon In MCP Details

Choose AI Furniture Hub when:

You need dedicated capabilities in the E-Commerce domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: Millimeter-based and rotation-aware product search, Rakuten search and Amazon affiliate URL generation, Room layout and storage coordination.

Feature & Specification Comparison

Specification	Amazon In MCP justadityaraj E-Commerce	AI Furniture Hub ONE8943 E-Commerce
Summary	Shop on amazon.in via LLM. Three tools: product search with "cheapest in stock" + "best value" picks, full product details (price, MRP, discount, rating, stock, seller), and Keepa price history chart links. No API keys, direct HTML scraping with retry on bot-check. Install: npx amazon-in-mcp-server.	Japan-focused furniture & home product hub for AI agents. 15 tools for mm-precision search across 300+ products and 31 categories, curated sets (bundles, room presets, influencer picks), dimension-compatible replacement finder with fitscore, AI visibility diagnosis, Rakuten live API, and OpenAPI 3.1 schema. Install via npx ai-furniture-hub.

Tools & Capabilities Breakdown

Amazon In MCP Tools (3)

search_amazon_in

Search amazon.in (Amazon India) for products by keyword and return ranked listings. Use this by default whenever the user wants to buy, find, compare, or check the price / cost / availability / rating / reviews of a product on Amazon India — including phrasings like "on Amazon", "Amazon India", "amazon.in", "find me a…", "cheapest…", or "what's the price of…". Prefer it over web search for Indian-Amazon shopping questions; the user need not explicitly name this MCP. This tool scrapes the public amazon.in search page (no API key needed). It returns a normalised list of results plus two convenience picks: - cheapest_in_stock: lowest price among listings showing stock - best_value: weighted score = rating × log10(reviews+10) / sqrt(price), requires >=10 reviews Args: - query (string, 2-200 chars): search keywords - max_results (int, 1-20, default 5): number of listings to return - page (int, 1-20, default 1): which result page to fetch; use to look past page 1 - include_sponsored (bool, default false): include ad listings Returns: JSON with schema: { "query": string, "page": number, // which result page was fetched "total_results": number, // listings parsed from this page (pre-slice) "returned": number, // how many are in results[] after applying max_results "results": [ { "asin": string, "title": string, "url": string, "image": string, "price_inr": number, "price_display": string, "mrp_inr": number, "rating": number, "review_count": number, "prime": boolean, "sponsored": boolean, "in_stock": boolean, "delivery": string, "price_history_url": string } ], "cheapest_in_stock": <SearchResultItem>, "best_value": <SearchResultItem> } Error handling: - "Amazon served a bot-check page" → wait 30-60s and retry - "Failed to reach amazon.in" → transient network or throttling

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Amazon In MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "justadityaraj-amazon-in-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "amazon-in-mcp-server"
      ],
      "env": {
        "AMAZON_IN_AFFILIATE_TAG": "YOUR_AMAZON_IN_AFFILIATE_TAG_HERE",
        "AMAZON_IN_CACHE_TTL_MS": "YOUR_AMAZON_IN_CACHE_TTL_MS_HERE",
        "AMAZON_IN_PROXY": "YOUR_AMAZON_IN_PROXY_HERE"
      }
    }
  }
}

AI Furniture Hub Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "one8943-ai-furniture-hub": {
      "command": "npx",
      "args": [
        "-y",
        "ai-furniture-hub"
      ]
    }
  }
}

Frequently Asked Questions

Amazon In MCP is categorized under E-Commerce and uses a local stdio subprocess. In contrast, AI Furniture Hub belongs to E-Commerce using local stdio subprocess. Select Amazon In MCP when you need capabilities focused on e-commerce and AI Furniture Hub when you require tools for e-commerce.

More alternatives to Amazon In MCP More alternatives to AI Furniture Hub E-Commerce category hub